Nikhil Pinnaparaju

According to our database, Nikhil Pinnaparaju authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning.

Ciara Rowles, Reshinth Adithyan, Nikhil Pinnaparaju, Vikram Voleti, Mark Boss

CoRR, May, 2026

2025

Block Cascading: Training Free Acceleration of Block-Causal Video Models.

Hmrishav Bandyopadhyay, Nikhil Pinnaparaju, Rahim Entezari, Jim Scott, Yi-Zhe Song, Varun Jampani

CoRR, November, 2025

Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning.

Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola

CoRR, August, 2025

2024

Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic.

Zaid Alyafeai, Michael Pieler, Hannah Teufel, Jonathan Tow, Marco Bellagente, Duy Phung, Nikhil Pinnaparaju, Reshinth Adithyan, Paulo Rocha, Maksym Zhuravinskyi, Carlos Riquelme

CoRR, 2024

Stable Code Technical Report.

Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper

CoRR, 2024

Stable LM 2 1.6B Technical Report.

Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparaju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccoló Zanichelli, Carlos Riquelme

CoRR, 2024

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training.

Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.

Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

CoRR, 2023

2021

Addressing Issues in Training Neural Extractive Summarisation Models.

Ramkishore Saravanan, Nikhil Pinnaparaju, Vasudeva Varma

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter.

Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

SCATE: shared cross attention transformer encoders for multimodal fake news detection.

Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Semantic Textual Similarity of Sentences with Emojis.

Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Summaformers @ LaySumm 20, LongSumm 20.

Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma

Proceedings of the First Workshop on Scholarly Document Processing, 2020

Identifying Fake News Spreaders in Social Media.

Nikhil Pinnaparaju, Vijayasaradhi Indurthi, Vasudeva Varma

Proceedings of the Working Notes of CLEF 2020, 2020